Near-field (NF) measurement techniques and the related NF to far-field (FF) transformations are gaining interest for their ability to allow an accurate evaluation of the radiation characteristics of those antennas whose electric sizes do not make it possible to perform direct FF measurements in a controlled and reflection-free environment, such as the anechoic chamber. This book provides a comprehensive treatment of classical NF-FF transformation techniques and describes the significant improvements achieved in their performance by correctly applying the non-redundant...

Deep learning has started to be applied to solving many electromagnetic problems, including the development of fast modelling solvers, accurate imaging algorithms, efficient design tools for antennas, as well as tools for wireless links/channels characterization. The contents of this book represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate. With the development of deep learning techniques, improvement in learning capacity and generalization ability may allow machines to "learn" from...

Given that charge acceleration is the cause of all electromagnetic radiation, the question arises about where such acceleration occurs on objects typically modelled and analysed by electromagnetic engineers. Charge acceleration, as the cause of radiation from these typical kinds of objects (antennas, radars etc) is examined in this book on a quantitative basis. The book describes new ways of modelling the actual distribution of EM radiation waves from its various sources. Unlike other books on EM it focuses on radiation, a fundamental property of electromagnetic fields, it...